Extraction of knowledge from texts obtained from Twitter
DOI:
https://doi.org/10.5377/entorno.v0i65.6048Keywords:
Text processing languages, Text files, Visualization of the information, Recover of information, Information storage and retrieval systems, Communications technology, Telecommunications.Abstract
The objective of “Extraction of knowledge from texts obtained from Twitter“ is to apply data mining techniques to a set of tweets, in order to extract information to be able to find out what people are talking about and thus generate ideas or concepts, with the use of a variety of graphic representations.
A set of tweets generated between January 1 and February 21, 2018 has been used to conduct this analysis, and the topic is related to artificial intelligence. The process was divided in three main phases: tweets collection, text processing and display of results.
The use of a variety of graphs facilitated the presentation of comprehensible data for the reader; this allowed them to have an idea on the concepts being expressed in the texts and the selection of the main ideas.
Entorno, june 2018, issue 65: 30-41
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